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Author Name Disambiguation in Bibliographic Databases: A Survey
[article]
2020
arXiv
pre-print
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Author Name Disambiguation (AND) in Bibliographic Databases (BD) like DBLP , Citeseer , and Scopus is a specialized field of entity resolution. ...
Entity resolution is a challenging and hot research area in the field of Information Systems since last decade. ...
Acknowledgement We are grateful to the Higher Education Commission (HEC) of Pakistan for their financial assistance to promote the research trend in the country under Indigenous 5000 Fellowship Program ...
arXiv:2004.06391v1
fatcat:g6ohfpzeejbwhlxmt7vlmyjqo4
A survey on Adversarial Recommender Systems: from Attack/Defense strategies to Generative Adversarial Networks
[article]
2020
arXiv
pre-print
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In this survey, we provide an exhaustive literature review of 74 articles published in major RS and ML journals and conferences. ...
The goal of this survey is two-fold: (i) to present recent advances on adversarial machine learning (AML) for the security of RS (i.e., attacking and defense recommendation models), (ii) to show another ...
We collected all resulting publications from DBLP, Scopus and Google Scholar search. In the second stage, we went through all the collected research works and removed all irrelevant works. ...
arXiv:2005.10322v2
fatcat:4wqcluqgnbbwpkicunn42et5te
Natural Language Processing via LDA Topic Model in Recommendation Systems
[article]
2019
arXiv
pre-print
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In the past few years, many articles have been published based on LDA technique for building recommendation systems. ...
Today, Internet is one of the widest available media worldwide. ...
Yan and et al, focused on the efficiency of users' information content on the online social network and provided a solution as a personalized video recommendation with considering users' cross-network ...
arXiv:1909.09551v1
fatcat:ok3piccvx5agfds6adyiny2aom
Data sets for author name disambiguation: an empirical analysis and a new resource
2017
Scientometrics
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Data sets of publication meta data with manually disambiguated author names play an important role in current author name disambiguation (AND) research. ...
Both the quantitative analysis of this data set and the results of our initial AND experiments with a naive baseline algorithm show the SCAD-zbMATH data set to be considerably different from existing ones ...
Then, a simple social network analysis based on co-author information is performed to rank the potential candidate profiles. ...
doi:10.1007/s11192-017-2363-5
pmid:28596627
pmcid:PMC5438420
fatcat:ffqjb223ejd7vfh6wnwjxezulu
POLYPHONET: An Advanced Social Network Extraction System from the Web
2007
Social Science Research Network
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Social networks play important roles in the Semantic Web: knowledge management, information retrieval, ubiquitous computing, and so on. ...
We propose a social network extraction system called POLYPHONET, which employs several advanced techniques to extract relations of persons, to detect groups of persons, and to obtain keywords for a person ...
Acknowledgment This research was partially supported by the New Energy and Industrial Technology Development Organization (NEDO), No. 04A11502a. ...
doi:10.2139/ssrn.3199373
fatcat:ctymfrnp2nbrzjii5nyp6pdggi
POLYPHONET: An advanced social network extraction system from the Web
2007
Journal of Web Semantics
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Social networks play important roles in the Semantic Web: knowledge management, information retrieval, ubiquitous computing, and so on. ...
We propose a social network extraction system called POLYPHONET, which employs several advanced techniques to extract relations of persons, to detect groups of persons, and to obtain keywords for a person ...
Acknowledgment This research was partially supported by the New Energy and Industrial Technology Development Organization (NEDO), No. 04A11502a. ...
doi:10.1016/j.websem.2007.09.002
fatcat:b3d6txzmbfe3ldjhua6jo7vrdi
The Quest for Research Information
2014
Procedia Computer Science
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In this work, we give an overview of the current state of the art in research information sharing on the web and present initial ideas towards a more holistic approach for boot-strapping research information ...
., data about research projects, organisations, researchers or research outputs such as publications or patents, is spread across the web, usually residing in institutional and personal web pages or in ...
NER selects and categorises entity names (such as persons, organisations, and location names), temporal expressions (dates and times), and certain types of numerical expressions (monetary values and percentages ...
doi:10.1016/j.procs.2014.06.040
fatcat:x7qpwy6gsrdeldhcn2fppd6ryy
Network representation learning systematic review: Ancestors and current development state
2021
Machine Learning with Applications
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2021 pre-print arXiv:2109.07583v1 fatcat:abbl3mowhrbbxpujudbfwdowpa
Through the undertaken survey, we provide a comprehensive view of reasons behind the emergence of network embedding and, types of settings and models used in the network embedding pipeline. ...
In this paper, we present a systematic comprehensive survey of network representation learning, known also as network embedding, from birth to the current development state. ...
, node in a graph, a user, a hashtag in social networks, news, and structure of a graph to name few, is the key novelty of representation learning of concepts into low-dimensional space. ...
doi:10.1016/j.mlwa.2021.100130
fatcat:axhg2gxkzfds3icebro6hlman4
A Multi-Level Author Name Disambiguation Algorithm
2019
IEEE Access
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Name disambiguation is used to promote computer technology and big data information, which maps virtual relational networks to real social networks to solve the problem that the same name points to multiple ...
of the system, and affect the information quality and content quality. ...
This part mainly summarizes related work in the past, and the background of the author name disambiguation method proposed in this paper. ...
doi:10.1109/access.2019.2931592
fatcat:hgvcdv6uhjevjlk5nqvqfu6tvi
Industry and Academic Research in Computer Vision
[article]
2021
arXiv
pre-print
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Next, the possible impact of industry presence is further explored, namely in the distribution of research topics and citation patterns. ...
Since data for such analysis was not readily available, significant effort was spent on gathering and processing meta-data from the original publications. ...
In general, the problem of distinguishing co-occurrence from the influence has been addressed in other examples of real networks, such as social networks. ...
arXiv:2107.04902v3
fatcat:indcnnkmmzcq7aav573bkf2qzi
Leveraging Personal Metadata for Desktop Search: The Beagle++ System
2010
Social Science Research Network
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By comparing our results against the ones of a regular Desktop search solution -Beaglewe show an improved quality in search and overall performance. ...
We also present a practical application of this approach -the extensible Beagle ++ toolbox. To prove the validity of our approach, we conducted a series of experiments. ...
This work was supported by the NEPOMUK 48 project funded by the European Commission under the 6th Framework Programme (IST Contract No. 027705). ...
doi:10.2139/ssrn.3199465
fatcat:6fpkmmul6ze7dgf77bltt4k5eu
Data-driven Computational Social Science: A Survey
2020
Big Data Research
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2020 pre-print arXiv:2008.12372v1 fatcat:uuio6avbunfhjhiaauumyerqja
The state-of-the-art research on human dynamics is reviewed from three aspects: individuals, relationships, and collectives. ...
The complexity of research topics in social science makes it the amalgamation of multiple disciplines, such as economics, political science, and sociology, etc. ...
During the past couple of years, the most active area of research in semi-supervised learning has been in graph-based methods. ...
doi:10.1016/j.bdr.2020.100145
fatcat:jazh5b3itfgmvh4pn37l4v5m7y
Leveraging personal metadata for Desktop search: The Beagle ++ system
2010
Journal of Web Semantics
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By comparing our results against the ones of a regular Desktop search solution -Beaglewe show an improved quality in search and overall performance. ...
We also present a practical application of this approach -the extensible Beagle ++ toolbox. To prove the validity of our approach, we conducted a series of experiments. ...
This work was supported by the NEPOMUK 48 project funded by the European Commission under the 6th Framework Programme (IST Contract No. 027705). ...
doi:10.1016/j.websem.2009.12.001
fatcat:wjyix5l44veadaifcg435g2lzu
Knowledge Graphs Evolution and Preservation – A Technical Report from ISWS 2019
[article]
2020
arXiv
pre-print
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One of the grand challenges discussed during the Dagstuhl Seminar "Knowledge Graphs: New Directions for Knowledge Representation on the Semantic Web" and described in its report is that of a: "Public FAIR ...
Knowledge Graph of Everything: We increasingly see the creation of knowledge graphs that capture information about the entirety of a class of entities. [...] ...
Acknowledgement We would like to thank everyone who contributed to the organisation of ISWS, the students who are its soul and motivating engine, and the sponsors. ...
arXiv:2012.11936v1
fatcat:frdu4fyci5f2da5atmjtanubia
Seven-Layer Model in Complex Networks Link Prediction: A Survey
2020
Sensors
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For discussion and analysis of the evolution of the network, the network model is of great significance. ...
The idea of stratification is introduced into the classification system of link prediction for the first time and proposes the design idea of a seven-layer model, namely the network, metadata, feature ...
For example, if a node represents a person and an edge represents an interaction between two nodes, it can form a social network reflecting interpersonal relationships. ...
doi:10.3390/s20226560
pmid:33212872
pmcid:PMC7698359
fatcat:rsudi3hhnfe5jhcr5v5ry65pwy
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